Q9ZTA2 AF NFT

Probable inactive 2-oxoglutarate-dependent dioxygenase AOP2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaruc36cjrpka5vdlc6b3n3nralryp2r2ebwwtajv4oxl2iwhqvdq/metadata.json
IPFS of structure file: 
bafybeiczmr5dbxlzekzono5epwostznc2g3qscpzkgbsquncsr3awkbzz4/AF-Q9ZTA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x67Caacc81C91Ffe8C5b6E9623969278a00FCc789
First NFT owner address (bech32): 
genesis1vl92ejquj8l733dka93rj6f83gq0e3ufu8rlpk
Current NFT ID #17137 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
17137
Accession (UniProt):
Q9ZTA2
Name::
Probable inactive 2-oxoglutarate-dependent dioxygenase AOP2
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9ZTA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZTA2|AOP2C_ARATH Probable inactive 2-oxoglutarate-dependent dioxygenase AOP2 OS=Arabidopsis thaliana OX=3702 GN=AOP2 PE=2 SV=1 MGSCSLQLPLINLADKTLEPGSSKWAEVRSDVRKALEDFGCFEASYDKVSLELQESIMKTMEELFALPVETKQRNVCPKPYVGYLNHNNLSESLGISNANILENINEFTQQLWPHGDGNENISKTIQLFAEKLVEIDVMVRRMVMESFGIEKYIDDHLKSTAYATDELNIVGVEPNVGVKVNADISDDVNANASVNAGVGANVNADTGVNDNLNVDANVAVGGGVNANTDLGVGVNVNSNVAVNAKTGGDDVEANDDNEEKKLGLPCHTDKNLFTVLFQHEIEGLEVKTKDEKWIRVKPSPNTFIVIAGDSLCALMNGRIRAPYHRVRVTEKKRTRYTAAIFTCPKPDYVIEAPKELVDEKHPRLFRPFDYRDLFTFYHSEAGRKIQYTLQAYCAVSEA